Average-Case Analysis of Iterative Voting

Fuente: arXiv
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Auteurs principaux: Kavner, Joshua, Xia, Lirong
Format: Preprint
Publié: 2024
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author Kavner, Joshua
Xia, Lirong
author_facet Kavner, Joshua
Xia, Lirong
contents Iterative voting is a natural model of repeated strategic decision-making in social choice theory when agents have the opportunity to update their votes prior to finalizing the group decision. Prior work has analyzed the efficacy of iterative plurality on the welfare of the chosen outcome at equilibrium, relative to the truthful vote profile, via an adaptation of the price of anarchy. However, prior analyses have only studied the worst- and average-case performances when agents' preferences are distributed by the impartial culture. This work extends average-case analysis comprehensively across three alternatives and distinguishes under which of agents' preference distributions iterative plurality improves or degrades asymptotic welfare.
format Preprint
id arxiv_https___arxiv_org_abs_2402_08144
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Average-Case Analysis of Iterative Voting
Kavner, Joshua
Xia, Lirong
Computer Science and Game Theory
Artificial Intelligence
Iterative voting is a natural model of repeated strategic decision-making in social choice theory when agents have the opportunity to update their votes prior to finalizing the group decision. Prior work has analyzed the efficacy of iterative plurality on the welfare of the chosen outcome at equilibrium, relative to the truthful vote profile, via an adaptation of the price of anarchy. However, prior analyses have only studied the worst- and average-case performances when agents' preferences are distributed by the impartial culture. This work extends average-case analysis comprehensively across three alternatives and distinguishes under which of agents' preference distributions iterative plurality improves or degrades asymptotic welfare.
title Average-Case Analysis of Iterative Voting
topic Computer Science and Game Theory
Artificial Intelligence
url https://arxiv.org/abs/2402.08144